Solution Architect AI

Tata Consultancy Services; New York (NY); On-site; USD 133,000 - 179,000; Full time

Job summary

Tata Consultancy Services in United States is seeking a hands-on Platform Architect to design and build the Knowledge Fabric Enablement Layer. You will define services, APIs, and orchestration to enable enterprise knowledge for Agentic AI, with an emphasis on governance, observability, and scalable data integration.

You will collaborate with AI platform engineers and data fabric teams to deliver a developer-friendly platform, including SDKs and connectors for various data sources, vector stores,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years in distributed systems or platform engineering with 3+ years in AI/Knowledge/ML infrastructure.
• Strong expertise in microservices, event-driven systems, and API platform design.
• Hands-on experience with Vector DBs/Graph stores (Weaviate, Neo4j, ArangoDB, RedisGraph, Milvus).
• Familiarity with governance hooks (RBAC, lineage, audit) in data or AI pipelines.

Responsibilities

• Design the Knowledge Fabric Platform Services.
• Develop Knowledge APIs and SDKs for integrating knowledge sources and graph systems.
• Implement Fabric Orchestration Layer for ingestion, transformation, and synchronization.
• Enable Ontology Lifecycle Management with versioning and schema evolution.
• Governance & Observability Enablement across knowledge operations.
• Performance & Scalability Engineering for low-latency retrieval and high-throughput ingestion.
• Collaborate with AI platform engineers and data fabric teams on developer experience.

Skills

Distributed systems

API design

Microservices

Platform engineering

Python

Go

TypeScript

Kafka

RBAC governance

Observability

Developer experience

Education

Bachelor's or Master’s in CS

Tools

Weaviate

Neo4j

ArangoDB

RedisGraph

Milvus

OpenTelemetry

Job description

Job Description

We are looking for a hands-on Platform Architect who will design and build the Knowledge Fabric Enablement Layer — the foundational system that allows teams to define, register, manage, and operationalize enterprise knowledge for Agentic AI. This role focuses on building the infrastructure, APIs, and orchestration capabilities that make knowledge integration, reasoning, and retrieval possible at scale.

Job Description

We are looking for a hands-on Platform Architect who will design and build the Knowledge Fabric Enablement Layer — the foundational system that allows teams to define, register, manage, and operationalize enterprise knowledge for Agentic AI. This role focuses on building the infrastructure, APIs, and orchestration capabilities that make knowledge integration, reasoning, and retrieval possible at scale. You will architect the services, abstractions, and developer interfaces that let others plug in their own data, ontologies, and retrieval logic — while ensuring consistency, observability, and governance across the enterprise.

Key Responsibilities

• Design the Knowledge Fabric Platform Services

Architect and build the underlying services that manage registration, discovery, and access of knowledge assets (e.g., ontologies, embeddings, graphs, data connectors, schemas).

• Develop Knowledge APIs and SDKs

Define and implement APIs, SDKs, and connectors for integrating knowledge sources, vector stores, and graph systems into the platform — enabling agent and workflow-level consumption.

• Implement Fabric Orchestration Layer

Build orchestration components for ingestion, transformation, indexing, and synchronization of knowledge entities across internal and external systems.

• Enable Ontology Lifecycle Management

Provide tooling and pipelines for ontology versioning, schema evolution, and entity linking so teams can evolve their domain models without disruption.

• Governance & Observability Enablement

Build modules that capture metadata, lineage, and provenance for every knowledge operation — integrating with policy, audit, and TRiSM layers.

• Performance & Scalability Engineering

Design for low-latency retrieval and high-throughput ingestion across hybrid and distributed knowledge sources.

• Collaboration & Developer Experience

Work closely with AI platform engineers, data fabric teams, and agent developers to ensure the knowledge fabric SDK and APIs are usable, composable, and extensible.

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Experience in architecture roles with a focus on manufacturing and industrial applications.
• 7+ years in distributed systems or platform engineering, with 3+ years in AI/Knowledge/ML infrastructure.
• Strong expertise in microservices, event-driven systems, and API platform design.
• Hands-on experience with one or more of:
• Vector DBs / Graph Stores: Weaviate, Neo4j, ArangoDB, RedisGraph, Milvus.
• Knowledge/Metadata Services: OpenMetadata, DataHub, Amundsen, or custom catalog services.
• Orchestration & Pipelines: Airflow, Dagster, Ray, LangGraph, or similar.
• Skilled in Python, Go, or TypeScript, with strong fundamentals in API development, caching, and messaging systems (Kafka, SQS, etc.).
• Familiarity with retrieval architectures (RAG, hybrid retrieval) and semantic search design principles.
• Experience embedding governance and policy hooks (RBAC, lineage, audit) in data or AI pipelines.
• Proficient in traditional and modern architectural patterns, software development, and system integration.
• Demonstrated ability to think strategically and integrate a broad range of ideas regarding product development.
• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and manage stakeholder expectations.
• Proven leadership abilities and experience in working with diverse and globally distributed teams.

Preferred Qualifications

• Experience with Generative, DL/ML/AI, IoT, and data analytics in a manufacturing environment.
• Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
• Prior experience in agile development environments.
• Familiarity with multi-agent orchestration frameworks (LangGraph, ServiceNow Agentic AI, Azure Foundry, Bedrock AgentCore).
• Prior experience designing developer platforms or internal PaaS for AI or knowledge systems.
• Exposure to policy enforcement and observability (OpenTelemetry, SPIFFE/SPIRE, OPA).
• Experience with schema/ontology evolution tooling and event-driven synchronization patterns

Salary Range: $132,600 - $179,400 a year